0784 SLEEP VALIDITY OF A NON-CONTACT BEDSIDE MOVEMENT AND RESPIRATION-SENSING DEVICE
Abstract Introduction: Expanding recognition of sleep’s importance has created a vast commercial market for sleep monitoring devices. Device reliability is generally presumed, despite low performance: typically, high sleep-detecting sensitivity (≥95%) but poor wake-detecting specificity (≤40%). To d...
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Veröffentlicht in: | Sleep (New York, N.Y.) N.Y.), 2017-04, Vol.40 (suppl_1), p.A290-A291 |
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creator | Schade, MM Bauer, CE Murray, BR Gahan, L Doheny, EP Kilroy, H Zaffaroni, A Montgomery-Downs, HE |
description | Abstract
Introduction:
Expanding recognition of sleep’s importance has created a vast commercial market for sleep monitoring devices. Device reliability is generally presumed, despite low performance: typically, high sleep-detecting sensitivity (≥95%) but poor wake-detecting specificity (≤40%). To describe the validity of a novel device and illustrate the impact of algorithm changes in a fast-adapting market, we compared versions 1 (V1) and 2 (V2) of the S+ by ResMed bedside monitor against PSG.
Methods:
Healthy adult sleepers underwent standard PSG, time-synchronized with the non-contact bedside device. Epoch-by-epoch V1 (N=27) and V2 (N=22) validity, and within-subject changes from V1 to V2 (N=22), were tested. Subjects were 41% female, 97% Caucasian, 15% married, aged 29.1(±12) years with a BMI of 27(±6); they had 16(±3) years education and median income $65,000.
Results:
Total sleep time [TST] per PSG was 338(±57) minutes with normal sleep architecture. Full sleep staging agreement of V1 was 61(±9)%, while V2 was 62(±7)%. For sleep/wake comparison, sleep sensitivity of V1 and V2 were 93(±6)% and 94(±4)%, while wake specificity of V1 and V2 were 70(±19)% and 73(±20)%. Specificity of V1 and V2 for WBSO were 88(±16)% and 90(±15)%; for WASO they were 51(±23)% and 53(±22)%, respectively. Analysis of within-subject changes follows: overall sleep sensitivity of V2 was significantly lower (p=.026); WBSO specificity did not differ; V2 WASO specificity was significantly higher (p=.022). Stage-specific results and an actigraphy comparison will be presented at the meeting.
Conclusion:
Relative to other published evaluations of commercially available, wearable sleep-tracking devices, this bedside device better identifies WBSO - a major challenge in this industry. There is still room to improve WASO specificity of this and all commercial sleep trackers. 100% accuracy is an unrealistic goal; rather, devices should approach PSG human inter-scorer reliability of ~81% for wake specificity.
Support (If Any):
Equipment, supplies, participant compensation, and student stipends were provided by ResMed. The faculty supervisor received no salary support or compensation from ResMed. |
doi_str_mv | 10.1093/sleepj/zsx050.783 |
format | Article |
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Introduction:
Expanding recognition of sleep’s importance has created a vast commercial market for sleep monitoring devices. Device reliability is generally presumed, despite low performance: typically, high sleep-detecting sensitivity (≥95%) but poor wake-detecting specificity (≤40%). To describe the validity of a novel device and illustrate the impact of algorithm changes in a fast-adapting market, we compared versions 1 (V1) and 2 (V2) of the S+ by ResMed bedside monitor against PSG.
Methods:
Healthy adult sleepers underwent standard PSG, time-synchronized with the non-contact bedside device. Epoch-by-epoch V1 (N=27) and V2 (N=22) validity, and within-subject changes from V1 to V2 (N=22), were tested. Subjects were 41% female, 97% Caucasian, 15% married, aged 29.1(±12) years with a BMI of 27(±6); they had 16(±3) years education and median income $65,000.
Results:
Total sleep time [TST] per PSG was 338(±57) minutes with normal sleep architecture. Full sleep staging agreement of V1 was 61(±9)%, while V2 was 62(±7)%. For sleep/wake comparison, sleep sensitivity of V1 and V2 were 93(±6)% and 94(±4)%, while wake specificity of V1 and V2 were 70(±19)% and 73(±20)%. Specificity of V1 and V2 for WBSO were 88(±16)% and 90(±15)%; for WASO they were 51(±23)% and 53(±22)%, respectively. Analysis of within-subject changes follows: overall sleep sensitivity of V2 was significantly lower (p=.026); WBSO specificity did not differ; V2 WASO specificity was significantly higher (p=.022). Stage-specific results and an actigraphy comparison will be presented at the meeting.
Conclusion:
Relative to other published evaluations of commercially available, wearable sleep-tracking devices, this bedside device better identifies WBSO - a major challenge in this industry. There is still room to improve WASO specificity of this and all commercial sleep trackers. 100% accuracy is an unrealistic goal; rather, devices should approach PSG human inter-scorer reliability of ~81% for wake specificity.
Support (If Any):
Equipment, supplies, participant compensation, and student stipends were provided by ResMed. The faculty supervisor received no salary support or compensation from ResMed.</description><identifier>ISSN: 0161-8105</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleepj/zsx050.783</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Sleep ; Validity ; Wages & salaries</subject><ispartof>Sleep (New York, N.Y.), 2017-04, Vol.40 (suppl_1), p.A290-A291</ispartof><rights>Sleep Research Society 2017. Published by Oxford University Press [on behalf of the Sleep Research Society]. All rights reserved. For permissions, please email: journals.permissions@oup.com 2017</rights><rights>Sleep Research Society 2017. Published by Oxford University Press [on behalf of the Sleep Research Society]. All rights reserved. For permissions, please email: journals.permissions@oup.com</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1983-5959f9df01fff9fe8785bf4b09b47411762fd4908b4d150d5e455de808bd9ba13</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1584,27924,27925</link.rule.ids></links><search><creatorcontrib>Schade, MM</creatorcontrib><creatorcontrib>Bauer, CE</creatorcontrib><creatorcontrib>Murray, BR</creatorcontrib><creatorcontrib>Gahan, L</creatorcontrib><creatorcontrib>Doheny, EP</creatorcontrib><creatorcontrib>Kilroy, H</creatorcontrib><creatorcontrib>Zaffaroni, A</creatorcontrib><creatorcontrib>Montgomery-Downs, HE</creatorcontrib><title>0784 SLEEP VALIDITY OF A NON-CONTACT BEDSIDE MOVEMENT AND RESPIRATION-SENSING DEVICE</title><title>Sleep (New York, N.Y.)</title><description>Abstract
Introduction:
Expanding recognition of sleep’s importance has created a vast commercial market for sleep monitoring devices. Device reliability is generally presumed, despite low performance: typically, high sleep-detecting sensitivity (≥95%) but poor wake-detecting specificity (≤40%). To describe the validity of a novel device and illustrate the impact of algorithm changes in a fast-adapting market, we compared versions 1 (V1) and 2 (V2) of the S+ by ResMed bedside monitor against PSG.
Methods:
Healthy adult sleepers underwent standard PSG, time-synchronized with the non-contact bedside device. Epoch-by-epoch V1 (N=27) and V2 (N=22) validity, and within-subject changes from V1 to V2 (N=22), were tested. Subjects were 41% female, 97% Caucasian, 15% married, aged 29.1(±12) years with a BMI of 27(±6); they had 16(±3) years education and median income $65,000.
Results:
Total sleep time [TST] per PSG was 338(±57) minutes with normal sleep architecture. Full sleep staging agreement of V1 was 61(±9)%, while V2 was 62(±7)%. For sleep/wake comparison, sleep sensitivity of V1 and V2 were 93(±6)% and 94(±4)%, while wake specificity of V1 and V2 were 70(±19)% and 73(±20)%. Specificity of V1 and V2 for WBSO were 88(±16)% and 90(±15)%; for WASO they were 51(±23)% and 53(±22)%, respectively. Analysis of within-subject changes follows: overall sleep sensitivity of V2 was significantly lower (p=.026); WBSO specificity did not differ; V2 WASO specificity was significantly higher (p=.022). Stage-specific results and an actigraphy comparison will be presented at the meeting.
Conclusion:
Relative to other published evaluations of commercially available, wearable sleep-tracking devices, this bedside device better identifies WBSO - a major challenge in this industry. There is still room to improve WASO specificity of this and all commercial sleep trackers. 100% accuracy is an unrealistic goal; rather, devices should approach PSG human inter-scorer reliability of ~81% for wake specificity.
Support (If Any):
Equipment, supplies, participant compensation, and student stipends were provided by ResMed. The faculty supervisor received no salary support or compensation from ResMed.</description><subject>Sleep</subject><subject>Validity</subject><subject>Wages & salaries</subject><issn>0161-8105</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkNFKwzAUhoMoOKcP4F3AW7udrMmaXNY2m4HajrUbeBXWNQHHtLNxoD6Nz-KTGakP4NXhnPP958CH0DWBEQERjt3emMNu_OnegcEo4uEJGhDGIBB-fYoGQKYk4ATYObpwbge-pyIcoBVEnOIyk3KB13GmUlU94mKG4--vvMiDpMirOKnwnUxLlUr8UKzlg8wrHOcpXspyoZZxpTxYyrxU-Ryncq0SeYnO7GbvzNVfHaLVTFbJfZAVc5XEWbAlgocBE0xY0Vgg1lphDY84qy2tQdQ0ooRE04ltqABe04YwaJihjDWG-0Ej6g0Jh-imv3vo2tejcW961x67F_9STxiElBIhqKdIT2271rnOWH3onp433YcmoH_t6d6e7u1pb89nbvtMezz8A_8B2nRsrg</recordid><startdate>20170428</startdate><enddate>20170428</enddate><creator>Schade, MM</creator><creator>Bauer, CE</creator><creator>Murray, BR</creator><creator>Gahan, L</creator><creator>Doheny, EP</creator><creator>Kilroy, H</creator><creator>Zaffaroni, A</creator><creator>Montgomery-Downs, HE</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope></search><sort><creationdate>20170428</creationdate><title>0784 SLEEP VALIDITY OF A NON-CONTACT BEDSIDE MOVEMENT AND RESPIRATION-SENSING DEVICE</title><author>Schade, MM ; Bauer, CE ; Murray, BR ; Gahan, L ; Doheny, EP ; Kilroy, H ; Zaffaroni, A ; Montgomery-Downs, HE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1983-5959f9df01fff9fe8785bf4b09b47411762fd4908b4d150d5e455de808bd9ba13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Sleep</topic><topic>Validity</topic><topic>Wages & salaries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schade, MM</creatorcontrib><creatorcontrib>Bauer, CE</creatorcontrib><creatorcontrib>Murray, BR</creatorcontrib><creatorcontrib>Gahan, L</creatorcontrib><creatorcontrib>Doheny, EP</creatorcontrib><creatorcontrib>Kilroy, H</creatorcontrib><creatorcontrib>Zaffaroni, A</creatorcontrib><creatorcontrib>Montgomery-Downs, HE</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>Sleep (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schade, MM</au><au>Bauer, CE</au><au>Murray, BR</au><au>Gahan, L</au><au>Doheny, EP</au><au>Kilroy, H</au><au>Zaffaroni, A</au><au>Montgomery-Downs, HE</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>0784 SLEEP VALIDITY OF A NON-CONTACT BEDSIDE MOVEMENT AND RESPIRATION-SENSING DEVICE</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><date>2017-04-28</date><risdate>2017</risdate><volume>40</volume><issue>suppl_1</issue><spage>A290</spage><epage>A291</epage><pages>A290-A291</pages><issn>0161-8105</issn><eissn>1550-9109</eissn><abstract>Abstract
Introduction:
Expanding recognition of sleep’s importance has created a vast commercial market for sleep monitoring devices. Device reliability is generally presumed, despite low performance: typically, high sleep-detecting sensitivity (≥95%) but poor wake-detecting specificity (≤40%). To describe the validity of a novel device and illustrate the impact of algorithm changes in a fast-adapting market, we compared versions 1 (V1) and 2 (V2) of the S+ by ResMed bedside monitor against PSG.
Methods:
Healthy adult sleepers underwent standard PSG, time-synchronized with the non-contact bedside device. Epoch-by-epoch V1 (N=27) and V2 (N=22) validity, and within-subject changes from V1 to V2 (N=22), were tested. Subjects were 41% female, 97% Caucasian, 15% married, aged 29.1(±12) years with a BMI of 27(±6); they had 16(±3) years education and median income $65,000.
Results:
Total sleep time [TST] per PSG was 338(±57) minutes with normal sleep architecture. Full sleep staging agreement of V1 was 61(±9)%, while V2 was 62(±7)%. For sleep/wake comparison, sleep sensitivity of V1 and V2 were 93(±6)% and 94(±4)%, while wake specificity of V1 and V2 were 70(±19)% and 73(±20)%. Specificity of V1 and V2 for WBSO were 88(±16)% and 90(±15)%; for WASO they were 51(±23)% and 53(±22)%, respectively. Analysis of within-subject changes follows: overall sleep sensitivity of V2 was significantly lower (p=.026); WBSO specificity did not differ; V2 WASO specificity was significantly higher (p=.022). Stage-specific results and an actigraphy comparison will be presented at the meeting.
Conclusion:
Relative to other published evaluations of commercially available, wearable sleep-tracking devices, this bedside device better identifies WBSO - a major challenge in this industry. There is still room to improve WASO specificity of this and all commercial sleep trackers. 100% accuracy is an unrealistic goal; rather, devices should approach PSG human inter-scorer reliability of ~81% for wake specificity.
Support (If Any):
Equipment, supplies, participant compensation, and student stipends were provided by ResMed. The faculty supervisor received no salary support or compensation from ResMed.</abstract><cop>US</cop><pub>Oxford University Press</pub><doi>10.1093/sleepj/zsx050.783</doi><oa>free_for_read</oa></addata></record> |
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source | Oxford University Press Journals All Titles (1996-Current); EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
subjects | Sleep Validity Wages & salaries |
title | 0784 SLEEP VALIDITY OF A NON-CONTACT BEDSIDE MOVEMENT AND RESPIRATION-SENSING DEVICE |
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